000 | a | ||
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_c31112 _d31112 |
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008 | 230220b xxu||||| |||| 00| 0 eng d | ||
020 | _a9780262046794 | ||
082 |
_a006.3 _bBRA |
||
100 | _aBrachman, Ronald J. | ||
245 | _aMachines like us : toward AI with common sense | ||
260 |
_bMIT Press, _c2022 _aCambridge : |
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300 |
_axii, 306 p.; _bill. _c24 cm |
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365 |
_b29.95 _cUSD _d85.20 |
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504 | _aIncludes bibliographical references and index. | ||
520 | _aThe authors of Machines Like Us explore what it would take to endow computers with the kind of common sense that humans depend on every day--critically needed for AI systems to be successful in the world and to become trustworthy. | ||
650 | _aArtificial Intelligence | ||
650 | _aHuman-Computer Interaction (HCI) | ||
650 | _aKnowledge representation | ||
650 | _aInformation theory | ||
650 | _aTechnology Studies | ||
650 | _a Cyc system | ||
650 | _a Deep learning | ||
650 | _aCommon sense | ||
650 | _aEyewitness memory | ||
650 | _a Face recognition | ||
650 | _aGPT system | ||
650 | _aIntelligent behavior | ||
650 | _a Knowledge base | ||
650 | _a Long-tail phenomena | ||
650 | _aMinsky,Marvin | ||
650 | _aNeural network | ||
650 | _a Open vs. closed system | ||
650 | _a Reasoning module | ||
650 | _aSelf-driving car | ||
650 | _aTaxonomy | ||
650 | _a Uncertainty of belief | ||
650 | _aXCON system | ||
700 | _aLevesque, Hector J. | ||
942 |
_2ddc _cBK |